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Ion-Molecule Collision Cross-Section Simulation using Linked-cell and Trajectory Parallelization

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Autor(es):
Cajahuaringa, Samuel ; Zanotto, Leandro N. ; Caetano, Daniel L. Z. ; Rigo, Sandro ; Yviquel, Herve ; Skaf, Munir S. ; Araujo, Guido ; IEEE Comp Soc
Número total de Autores: 8
Tipo de documento: Artigo Científico
Fonte: 2022 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2022); v. N/A, p. 10-pg., 2022-01-01.
Resumo

Ion Mobility coupled to Mass Spectrometry (IM-MS) has become a highly valued tool for structural characterization of biological samples. In IM-MS the protein under investigation is ionized and accelerated by an electric field into a drift tube where it collides against a buffer gas. The separation of the gas-phase ions is then measured through the differences in their rotationally averaged Collision Cross-Section (CCS) values. The utility of the measured CCS for structural characterization critically depends on the validation against its theoretical calculation, which relies on intensive molecular mechanics simulation. Increasing the performance of CCS simulation is thus a relevant computational-chemistry research problem. This work shows that the combination of a linked-cell based algorithm with parallelization techniques can considerably increase the performance of CCS simulation. Experimental results reveal speedups from similar to 10x up to similar to 400x and parallelization efficiency greater than 0.98 when compared to High Performance Collision Cross Section (HPCCS), an optimized solution for CCS simulation. This reduces the CCS computation time from hours to minutes for a large range of proteins, making the proposed method the most performant approach to this problem nowadays, to the best of our knowledge. (AU)

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Beneficiário:Paulo Cesar Telles de Souza
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
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Processo FAPESP: 13/08293-7 - CECC - Centro de Engenharia e Ciências Computacionais
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Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
Processo FAPESP: 21/03224-3 - Computação de alto desempenho e dinâmica molecular
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Processo FAPESP: 19/19662-0 - Arquitetura mesoscópica de fibras lignocelulósicas
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